Data Science Summer Intern, Biologics Development

Key Skills

AI technology, Graph analytics, Large Language Models - LLMs, PyG- PyTorch Geometric, Python Programming, PyTorch, TensorFlow

Job Description

We are seeking Master's and PhD students majoring in Data Science, Computer Science, Mathematics, Statistics, Engineering, Structural/Computational Biology or a related quantitative science field for a 12-Week Student Intern role in Gaithersburg, MD for a May 19th - August 8th contract period.

Position Duties:

• Conduct exploratory data analysis of biologics developability and manufacturability properties.
• Apply advanced machine learning techniques to predict antibody developability properties.
• Compare structural and sequence-based AI models and finetuning approachesfor developability prediction.

Position Requirements:

• Master's and PhD students majoring in Data Science, Computer Science, Mathematics, Statistics, Engineering, Computational/Structural Biology or a related quantitative science field.
• Candidates must have an expected graduation date after August 2025.
• Solid understanding of statistical data analysis and machine learning models is required.
• Proficiency in Python and Pytorch (Geometric)/TensorFlow is required.
• Familiarity with large language models, their finetuning approaches, and graph neural networks is required.
• Familiarity with protein language models and domain-specific knowledge in antibody development is desirable.
• Enthusiasm for collaboration, cross-functional projects, public speaking, and presentation design.
• US Work Authorization is required at time of application.
• This role will not be providing OPT support.
• Ability to report onsite to Gaithersburg, MD for 3-5 days a week. This role can provide relocation assistance to non-local candidates in need.
• Minimum grade point average of 3.0

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.